Compute Library
 21.02
DepthwiseConvolutionLayerNode.h
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24 #ifndef ARM_COMPUTE_GRAPH_DEPTHWISE_CONVOLUTION_LAYER_NODE_H
25 #define ARM_COMPUTE_GRAPH_DEPTHWISE_CONVOLUTION_LAYER_NODE_H
26 
28 
29 namespace arm_compute
30 {
31 namespace graph
32 {
33 /** Depthwise Convolution Layer node */
35 {
36 public:
37  /** Constructor
38  *
39  * @param[in] info Convolution layer attributes
40  * @param[in] depth_multiplier (Optional) Depth multiplier parameter.
41  * @param[in] method (Optional) Depthwise convolution method to use
42  * @param[in] out_quant_info (Optional) Output quantization info
43  */
45  int depth_multiplier = 1,
47  QuantizationInfo out_quant_info = QuantizationInfo());
48  /** Sets the depthwise convolution method to use
49  *
50  * @param[in] method Depthwise convolution method to use
51  */
53  /** Depthwise convolution layer method accessor
54  *
55  * @note This is an indication on which depthwise implementation to use,
56  * if it fails to be created the generic approach will be used
57  *
58  * @return Depthwise convolution layer method do be used by the node
59  */
61  /** Depth multiplier accessor
62  *
63  * @return Depth multiplier
64  */
65  int depth_multiplier() const;
66  /** Convolution metadata accessor
67  *
68  * @return Convolution information
69  */
71  /** Returns fused activation
72  *
73  * @return Fused activation
74  */
76  /** Sets fused activation
77  *
78  * @param[in] fused_activation Fused activation to set
79  */
80  void set_fused_activation(ActivationLayerInfo fused_activation);
81  /** Computes depthwise convolution output descriptor
82  *
83  * @param[in] input_descriptor Input descriptor
84  * @param[in] weights_descriptor Weights descriptor
85  * @param[in] info Convolution operation attributes
86  * @param[in] depth_multiplier (Optional) Depth multiplier parameter.
87  *
88  * @return Output descriptor
89  */
90  static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor,
91  const TensorDescriptor &weights_descriptor,
92  const PadStrideInfo &info,
93  int depth_multiplier = 1);
94 
95  // Inherited overridden methods:
96  NodeType type() const override;
97  bool forward_descriptors() override;
98  TensorDescriptor configure_output(size_t idx) const override;
99  void accept(INodeVisitor &v) override;
100 
101 public:
103 
104 private:
105  PadStrideInfo _info;
106  int _depth_multiplier;
108  QuantizationInfo _out_quant_info;
109  ActivationLayerInfo _fused_activation;
110 };
111 } // namespace graph
112 } // namespace arm_compute
113 #endif /* ARM_COMPUTE_GRAPH_DEPTHWISE_CONVOLUTION_LAYER_NODE_H */
ActivationLayerInfo fused_activation() const
Returns fused activation.
void set_fused_activation(ActivationLayerInfo fused_activation)
Sets fused activation.
TensorDescriptor configure_output(size_t idx) const override
Calculates output configuration.
DepthwiseConvolutionMethod depthwise_convolution_method() const
Depthwise convolution layer method accessor.
Activation Layer Information class.
Definition: Types.h:1550
Copyright (c) 2017-2021 Arm Limited.
Quantization information.
Node interface.
Definition: INode.h:45
void accept(INodeVisitor &v) override
Accepts a node visitor.
DepthwiseConvolutionMethod
Supported Depthwise Convolution layer methods.
Definition: Types.h:127
PadStrideInfo convolution_info() const
Convolution metadata accessor.
NodeType
Supported nodes.
Definition: Types.h:142
Padding and stride information class.
Definition: Types.h:722
DepthwiseConvolutionLayerNode(PadStrideInfo info, int depth_multiplier=1, DepthwiseConvolutionMethod method=DepthwiseConvolutionMethod::Default, QuantizationInfo out_quant_info=QuantizationInfo())
Constructor.
NodeType type() const override
Returns node's type.
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
Default approach using internal heuristics.
void set_depthwise_convolution_method(DepthwiseConvolutionMethod method)
Sets the depthwise convolution method to use.
Node visitor interface.
Definition: INodeVisitor.h:34
bool forward_descriptors() override
Forwards descriptor information to outputs if possible.
static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor, const TensorDescriptor &weights_descriptor, const PadStrideInfo &info, int depth_multiplier=1)
Computes depthwise convolution output descriptor.